Ementorhub

What you'll learn

Develop machine learning models to analyze social media data effectively across various platforms and contexts.

Utilize natural language processing techniques to extract insights from user-generated content, improving engagement strategies.

Conduct sentiment analysis to gauge public opinion and sentiment on social media, informing brand positioning and messaging.

Create impactful network visualizations and interventions to understand and influence social dynamics within online communities.

Skills you'll gain

Graph Theory

Analytics

Data Manipulation

Trend Analysis

Network Analysis

Sociology

Analytical Skills

Text Mining

Machine Learning

Data Visualization

Data Analysis

Relational Databases

Specialization - 4 course series

In this specialization, learners will engage in various hands-on projects that apply advanced techniques such as natural language processing (NLP), social network analysis (SNA), and data visualization to real-world social media data. Projects span across different areas including processing and analyzing social media text, designing sentiment analysis classifiers, and performing topic modeling to uncover trends and insights from online content. Learners will also explore network visualization and statistical analysis, gaining practical skills in using tools like NLTK, gensim, and PyLDAvis. These projects emphasize solving authentic problems such as understanding online behavior, influence, and engagement patterns, while critically evaluating the challenges and limitations of social media data analysis.

Online Influence and Persuasion

Network Visualization and Intervention

Artificial Intelligence in Social Media Analytics